Showing 9 open source projects for "support vector machine"

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    OpenClaw Windows Hub

    OpenClaw Windows Hub

    Windows companion suite for OpenClaw

    OpenClaw Windows Node is a Windows companion suite for OpenClaw, the AI-powered personal assistant platform. It allows a Windows PC to act as a controllable node that can be used by the OpenClaw agent. When Node Mode is enabled, the agent can interact with the Windows machine in a way similar to the OpenClaw Mac app. The project focuses on bringing local desktop control, automation, and assistant functionality to Windows users. It is intended for people who want their AI assistant to operate...
    Downloads: 17 This Week
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  • 2
    Kernel Memory

    Kernel Memory

    Research project. A Memory solution for users, teams, and applications

    Kernel Memory is an open-source reference architecture developed by Microsoft to help developers build memory systems for AI applications powered by large language models. The project focuses on enabling applications to store, index, and retrieve information so that AI systems can incorporate external knowledge when generating responses. It supports scenarios such as document ingestion, semantic search, and retrieval-augmented generation, allowing language models to answer questions using...
    Downloads: 0 This Week
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  • 3
    Accord.NET Framework

    Accord.NET Framework

    Machine learning, computer vision, statistics and computing for .NET

    The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details. The Accord.NET project provides...
    Downloads: 8 This Week
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  • 4
    Accord.NET Framework

    Accord.NET Framework

    Scientific computing, machine learning and computer vision for .NET

    The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.
    Downloads: 0 This Week
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  • 5
    GPU Machine Learning Library. This library aims to provide machine learning researchers and practitioners with a high performance library by taking advantage of the GPU enormous computational power. The library is developed in C++ and CUDA.
    Downloads: 1 This Week
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  • 6
    aCompute

    aCompute

    Aims to enable researcher to tap in to mobile computing capability

    This is a software agent based computing program that will enable researchers and other users to tap in computing power of machine available by sharing work load on the fly with zero configuration on network & resources A self organizing agent program that will understand network and its resource. where as the only job left to researcher is to split up jobs in several chunks of programs either parallel or sequential jobs and go issue the job (A visual Modeler or Scripting support need to be yet designed) Software agents will automatically manage the rest or resource management, sharing , cloning of tasks etc. ...
    Downloads: 0 This Week
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  • 7
    SVM# is a svm(support vector machine) classification implemented in C#. The project contains both train and predict modules.
    Downloads: 0 This Week
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  • 8
    the libsvm for .net , and the data format use libsvm's data format. Support Vector Machine (SVM) . It supports C-SVC, nu-SVC, epsilon-SVR and nu-SVR and has a command-line .
    Downloads: 0 This Week
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  • 9
    NSvm is a .Net Support Vector Machine library written in .Net. NSvm features the SMO algorithm, a few kernels (including ad hoc algorithms for linear kernels). The objectives of NSvm are simplicity, flexibility and extensibility.
    Downloads: 0 This Week
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